Trait rustlearn::traits::ParallelSupervisedModel

pub trait ParallelSupervisedModel<T> {
    fn fit_parallel(&mut self, X: T, y: &Array, num_threads: usize) -> Result<(), &'static str>;
}

Applies to models capable of being trained in a parallel fashion.

Required Methods

fn fit_parallel(&mut self, X: T, y: &Array, num_threads: usize) -> Result<(), &'static str>

Implementors

• impl<'a, T: SupervisedModel<&'a Array> + Clone + Sync + Send> ParallelSupervisedModel<&'a Array> for OneVsRestWrapper<T>
• impl<'a, T: SupervisedModel<&'a SparseRowArray> + Clone + Sync + Send> ParallelSupervisedModel<&'a SparseRowArray> for OneVsRestWrapper<T>
• impl<'a, T: SupervisedModel<&'a SparseColumnArray> + Clone + Sync + Send> ParallelSupervisedModel<&'a SparseColumnArray> for OneVsRestWrapper<T>
• impl<'a, T> ParallelSupervisedModel<&'a T> for FactorizationMachine where &'a T: RowIterable, T: IndexableMatrix + Sync